Enable AI assistants to query and control Home Assistant entities, retrieve summaries, manage automations, and conduct guided conversations using lean JSON responses.

Provides a Model Context Protocol server that connects to the Databricks Genie API, enabling large language models to ask natural language questions, execute SQL queries, and interact with Genie conversational agents.

Enable generative AI capabilities for monitoring and managing WildFly servers through integrated tooling.

Convert documents between markdown, HTML, PDF, DOCX, RST, LaTeX, EPUB, IPYNB, ODT, and plain text using Pandoc through an MCP server, preserving formatting and structure.

Provides data governance orchestration for LLM pipelines via MCP integration, applying instruments such as PII detection to text streams.

Acts as a bridge between Arduino/ESP32 hardware and AI models, enabling AI-driven control of LEDs, buzzers, motors, servos, fans, relays, and sensors through the Model Context Protocol.

Provides API interfaces to query OpenStack compute, storage, network, and image resources via MCP protocol, supporting real‑time status, flexible filtering, and multiple detail levels.

Enables large language models to interact with Discord channels, allowing them to send and read messages through Discord's API while keeping user control and security.

Retrieve Bilibili user profiles, video details, and perform keyword video searches via an MCP server.

Create, manage, and publish X/Twitter posts directly through Claude chat.

Provides real-time NixOS package, configuration option, and version‑history data to AI assistants via Model Context Protocol, eliminating hallucinated responses about the Nix ecosystem.

Wanaku MCP Router connects AI-enabled applications using the Model Context Protocol (MCP).

Provides an MCP server that lets Claude and other AI agents interact with Apple Books data, exposing functions to list collections, retrieve books, fetch annotations, search highlights, and more.

Provides an embeddable integration platform that exposes Paragon ActionKit capabilities through a Model Context Protocol server, enabling AI agents to invoke SaaS services such as Google Calendar, Salesforce, and Slack.

Provides natural-language driven management and automation of TrueNAS Core storage resources via MCP, supporting user, pool, dataset, share, and snapshot operations.

Enables AI assistants and MCP clients to manage tasks, projects, areas, and tags in Things3 on macOS via a set of 25 specialized tools, providing automatic tag creation, error correction, and bulk operations.

Manage OPNsense firewalls through conversational AI, providing network configuration, device discovery, DNS filtering, HAProxy setup, and backup/restore via simple commands.

Provides a standardized interface for interacting with Ahrefs's tools and services through a unified API.

Provides a standardized interface for interacting with Wrike tools and services through a unified API.

Provides fast, reliable retrieval‑augmented generation and semantic search via the Model Context Protocol, allowing agents to query Vectara corpora and receive generated answers together with source passages.

Provides a lightweight decentralized memory gateway that connects AI agents to Membase for persistent, verifiable multi-session memory.

Provides a standardized API to interact with Serpapi tools and services via the Universal MCP framework.

Control Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Forms, Tasks, Search and other Google Workspace services through natural‑language prompts and AI assistants, all via a single MCP server backend.

Search documents using Vertex AI with Gemini grounding, allowing private data to improve relevance of results.

Provides a standardized API to interact with Semantic Scholar's tools and services, enabling unified access through the Universal MCP framework.

Control Spotify playback, search the catalog, and manage playlists directly from LLM interactions.

Fetches arXiv LaTeX sources and provides them via MCP for LLM clients to accurately interpret mathematical content in scientific papers.

Provides a standardized interface for interacting with Reddit's tools and services through a unified API.

Provides access to millions of SaaS reviews, detailed pricing tiers, alternative competitors, funding and growth metrics, aggregated sentiment scores, and granular functional feature information for tens of thousands of software products via an MCP endpoint.

Provides seamless integration with Notion, enabling language models to search, read, create, and update pages and databases through standardized tools.

Provides AI assistants with natural‑language access to Linear, allowing retrieval, creation, and updating of issues, projects, and teams.

Facilitates interactive communication between LLMs and users on the local machine, offering tools for user input, OS notifications, and persistent command‑line chat sessions.